Instructions to use BadreddineHug/LayoutLMv3_batch_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_batch_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_batch_8")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_batch_8") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_batch_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from BadreddineHug/LayoutLMv3_batch_8: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/BadreddineHug/LayoutLMv3_batch_8/resolve/main/.gitignore
- Command line
-
hf download hf://BadreddineHug/LayoutLMv3_batch_8/.gitignore
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curl -L -o .gitignore https://huggingface.co/BadreddineHug/LayoutLMv3_batch_8/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |